Enterostomal Therapy Nursing in the Canadian Home Care Sector
Bibliographic record
Abstract
Approximately one-third of all home care patients have wound care needs. Home care patients tend to be older and have multiple chronic diseases rendering them at risk for developing wounds and impairing their ability to heal wounds. Enterostomal therapy (ET) nurses have expertise in wound, ostomy, and continence care, and were recently recognized by the Canadian Nurses Association as a specialty practice. We completed a systematic review in order to identify and synthesize evidence about the value of ET nurses in the Canadian home care sector, focusing on wound care. A literature search was conducted, using 9 computerized library databases. Eight articles were identified for review; each was analyzed using qualitative content analysis. Two themes emerged from our analysis: (1) assessing the outcomes of ET nurse involvement in client care and (2) methods for using ET nurses' expertise. Within these themes, the benefits of ET nurses working in home care were identified: (1) a decreased number of visits, (2) reduced wound-healing times, (3) successful healing, (4) reduced cost of wound care, (5) greater support for nurses and families, (6) fewer emergency department visits, (7) fewer hospital readmissions, (8) increased interest in education in wound care among other nurses, and (9) standardized protocols for wound care. Although only 8 studies were located for this review, their findings provide evidence that ET nurses' contributions to wound care are not only positive but also necessary in the home care sector.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.005 | 0.016 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.005 | 0.014 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".